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natethegreate / hent-AI

Automation of censor bar detection
MIT License
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No CUDA-compatible GPU found. #10

Open bycloudai opened 4 years ago

bycloudai commented 4 years ago 
2020-06-02 01:11:58.680066: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
No CUDA-compatible GPU found.

How can I fix this and get it working on my GPU? My GPU is GTX1080 and I have Cuda v9.0 with CuDNN 7.6.4 installed

natethegreate commented 4 years ago

Is this from the .exe? If so then try running the code instead

natethegreate commented 4 years ago

Then for now, use the Google colab notebook. All you need is a Google drive account and it's much faster than our cards. It has all the instructions on it, but if you need DeepCreamPy that will still need to run on your computer. I am still investigating why the exe fails to find some GPUs

10882 commented 3 years ago

on 1650 super when running from .exe the same error ------------------------------update------------------------------ I launch from source code. Programm found my GPU.

ethanfel commented 3 years ago

Then for now, use the Google colab notebook. All you need is a Google drive account and it's much faster than our cards. It has all the instructions on it, but if you need DeepCreamPy that will still need to run on your computer. I am still investigating why the exe fails to find some GPUs

Colab even with pro has a lot of timeout.

I've got the same issue with a rtx3090

15801538070 commented 2 years ago

my laptop is 3060，and i have the samequestion i trying to use it in google colab